{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime, time\n",
    "from influxdb import InfluxDBClient\n",
    "import  talib\n",
    "from  matplotlib import pyplot as plt\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-08-23 18:05:29.433882\n"
     ]
    }
   ],
   "source": [
    "now = datetime.now()\n",
    "print(now)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "client = InfluxDBClient(\"192.168.3.108\", 8086, 'KlineIndex')  # 连接数据库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "klines = client.query(\"select * from rp_month.KlineMin1 where symbol = 'HSI' and time > '2021-08-22' order by time\", database= 'KlineIndex').get_points()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>preclose</th>\n",
       "      <th>symbol</th>\n",
       "      <th>value</th>\n",
       "      <th>vol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-08-23 09:30:00+00:00</td>\n",
       "      <td>25169.45</td>\n",
       "      <td>25169.45</td>\n",
       "      <td>25169.45</td>\n",
       "      <td>25169.45</td>\n",
       "      <td>25169.45</td>\n",
       "      <td>HSI</td>\n",
       "      <td>4.180651e+09</td>\n",
       "      <td>126644760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-08-23 09:31:00+00:00</td>\n",
       "      <td>25154.49</td>\n",
       "      <td>25192.07</td>\n",
       "      <td>25143.25</td>\n",
       "      <td>25169.45</td>\n",
       "      <td>25169.45</td>\n",
       "      <td>HSI</td>\n",
       "      <td>2.829303e+09</td>\n",
       "      <td>121892663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-08-23 09:32:00+00:00</td>\n",
       "      <td>25104.84</td>\n",
       "      <td>25154.63</td>\n",
       "      <td>25104.84</td>\n",
       "      <td>25154.49</td>\n",
       "      <td>25154.49</td>\n",
       "      <td>HSI</td>\n",
       "      <td>1.788637e+09</td>\n",
       "      <td>82312555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-08-23 09:33:00+00:00</td>\n",
       "      <td>25180.17</td>\n",
       "      <td>25180.17</td>\n",
       "      <td>25079.83</td>\n",
       "      <td>25096.99</td>\n",
       "      <td>25104.84</td>\n",
       "      <td>HSI</td>\n",
       "      <td>1.600041e+09</td>\n",
       "      <td>79705549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-08-23 09:34:00+00:00</td>\n",
       "      <td>25111.02</td>\n",
       "      <td>25182.65</td>\n",
       "      <td>25098.52</td>\n",
       "      <td>25180.17</td>\n",
       "      <td>25180.17</td>\n",
       "      <td>HSI</td>\n",
       "      <td>1.213741e+09</td>\n",
       "      <td>80830586</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       time     close      high       low      open  preclose  \\\n",
       "0 2021-08-23 09:30:00+00:00  25169.45  25169.45  25169.45  25169.45  25169.45   \n",
       "1 2021-08-23 09:31:00+00:00  25154.49  25192.07  25143.25  25169.45  25169.45   \n",
       "2 2021-08-23 09:32:00+00:00  25104.84  25154.63  25104.84  25154.49  25154.49   \n",
       "3 2021-08-23 09:33:00+00:00  25180.17  25180.17  25079.83  25096.99  25104.84   \n",
       "4 2021-08-23 09:34:00+00:00  25111.02  25182.65  25098.52  25180.17  25180.17   \n",
       "\n",
       "  symbol         value        vol  \n",
       "0    HSI  4.180651e+09  126644760  \n",
       "1    HSI  2.829303e+09  121892663  \n",
       "2    HSI  1.788637e+09   82312555  \n",
       "3    HSI  1.600041e+09   79705549  \n",
       "4    HSI  1.213741e+09   80830586  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(klines)\n",
    "df.time = pd.to_datetime(df.time)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x17f47e579a0>"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.close.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>preclose</th>\n",
       "      <th>symbol</th>\n",
       "      <th>value</th>\n",
       "      <th>vol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-08-12 09:31:00+00:00</td>\n",
       "      <td>26638.91</td>\n",
       "      <td>26662.13</td>\n",
       "      <td>26623.77</td>\n",
       "      <td>26623.77</td>\n",
       "      <td>26660.16</td>\n",
       "      <td>HSI</td>\n",
       "      <td>4.485104e+09</td>\n",
       "      <td>261305114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-08-12 09:32:00+00:00</td>\n",
       "      <td>26655.17</td>\n",
       "      <td>26665.73</td>\n",
       "      <td>26606.90</td>\n",
       "      <td>26641.38</td>\n",
       "      <td>26638.91</td>\n",
       "      <td>HSI</td>\n",
       "      <td>1.275138e+09</td>\n",
       "      <td>65831200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-08-12 09:33:00+00:00</td>\n",
       "      <td>26670.14</td>\n",
       "      <td>26670.69</td>\n",
       "      <td>26653.46</td>\n",
       "      <td>26655.59</td>\n",
       "      <td>26655.17</td>\n",
       "      <td>HSI</td>\n",
       "      <td>2.441315e+08</td>\n",
       "      <td>11988707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-08-12 09:35:00+00:00</td>\n",
       "      <td>26689.86</td>\n",
       "      <td>26692.87</td>\n",
       "      <td>26668.30</td>\n",
       "      <td>26685.09</td>\n",
       "      <td>26660.16</td>\n",
       "      <td>HSI</td>\n",
       "      <td>8.559743e+08</td>\n",
       "      <td>47349690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-08-12 09:36:00+00:00</td>\n",
       "      <td>26705.19</td>\n",
       "      <td>26713.24</td>\n",
       "      <td>26694.03</td>\n",
       "      <td>26698.55</td>\n",
       "      <td>26689.86</td>\n",
       "      <td>HSI</td>\n",
       "      <td>1.018489e+09</td>\n",
       "      <td>54213929</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       time     close      high       low      open  preclose  \\\n",
       "0 2021-08-12 09:31:00+00:00  26638.91  26662.13  26623.77  26623.77  26660.16   \n",
       "1 2021-08-12 09:32:00+00:00  26655.17  26665.73  26606.90  26641.38  26638.91   \n",
       "2 2021-08-12 09:33:00+00:00  26670.14  26670.69  26653.46  26655.59  26655.17   \n",
       "3 2021-08-12 09:35:00+00:00  26689.86  26692.87  26668.30  26685.09  26660.16   \n",
       "4 2021-08-12 09:36:00+00:00  26705.19  26713.24  26694.03  26698.55  26689.86   \n",
       "\n",
       "  symbol         value        vol  \n",
       "0    HSI  4.485104e+09  261305114  \n",
       "1    HSI  1.275138e+09   65831200  \n",
       "2    HSI  2.441315e+08   11988707  \n",
       "3    HSI  8.559743e+08   47349690  \n",
       "4    HSI  1.018489e+09   54213929  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_min = pd.DataFrame()\n",
    "#df_min['time'] = df['time']\n",
    "df_min['close'] = df['close']\n",
    "\n",
    "df_min['close5'] = talib.SMA(df['close'], 5)\n",
    "df_min['close10'] = talib.SMA(df['close'], 10)\n",
    "df_min['close15'] = talib.SMA(df['close'], 15)\n",
    "df_min['close30'] = talib.SMA(df['close'], 30)\n",
    "df_min['close60'] = talib.SMA(df['close'], 60)\n",
    "\n",
    "\n",
    "#df_min=df_min.set_index('time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df_min = df_min.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x17f480d14c0>"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_min.plot(figsize=(12,6))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "      <th>close5</th>\n",
       "      <th>close10</th>\n",
       "      <th>close15</th>\n",
       "      <th>close30</th>\n",
       "      <th>close60</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-08-23 09:30:00+00:00</th>\n",
       "      <td>25169.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-23 09:31:00+00:00</th>\n",
       "      <td>25154.49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-23 09:32:00+00:00</th>\n",
       "      <td>25104.84</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-23 09:33:00+00:00</th>\n",
       "      <td>25180.17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-23 09:34:00+00:00</th>\n",
       "      <td>25111.02</td>\n",
       "      <td>25143.994</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-23 15:56:00+00:00</th>\n",
       "      <td>25063.73</td>\n",
       "      <td>25066.180</td>\n",
       "      <td>25070.415</td>\n",
       "      <td>25069.900000</td>\n",
       "      <td>25065.804333</td>\n",
       "      <td>25082.532333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-23 15:57:00+00:00</th>\n",
       "      <td>25065.06</td>\n",
       "      <td>25064.722</td>\n",
       "      <td>25069.097</td>\n",
       "      <td>25069.324667</td>\n",
       "      <td>25066.339000</td>\n",
       "      <td>25081.794833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-23 15:58:00+00:00</th>\n",
       "      <td>25063.98</td>\n",
       "      <td>25063.872</td>\n",
       "      <td>25068.239</td>\n",
       "      <td>25068.348667</td>\n",
       "      <td>25066.984000</td>\n",
       "      <td>25080.829333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-23 15:59:00+00:00</th>\n",
       "      <td>25071.74</td>\n",
       "      <td>25065.250</td>\n",
       "      <td>25068.190</td>\n",
       "      <td>25068.677333</td>\n",
       "      <td>25067.828000</td>\n",
       "      <td>25080.036333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-23 16:00:00+00:00</th>\n",
       "      <td>25109.59</td>\n",
       "      <td>25074.820</td>\n",
       "      <td>25071.078</td>\n",
       "      <td>25071.945333</td>\n",
       "      <td>25069.902667</td>\n",
       "      <td>25079.613667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>331 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              close     close5    close10       close15  \\\n",
       "time                                                                      \n",
       "2021-08-23 09:30:00+00:00  25169.45        NaN        NaN           NaN   \n",
       "2021-08-23 09:31:00+00:00  25154.49        NaN        NaN           NaN   \n",
       "2021-08-23 09:32:00+00:00  25104.84        NaN        NaN           NaN   \n",
       "2021-08-23 09:33:00+00:00  25180.17        NaN        NaN           NaN   \n",
       "2021-08-23 09:34:00+00:00  25111.02  25143.994        NaN           NaN   \n",
       "...                             ...        ...        ...           ...   \n",
       "2021-08-23 15:56:00+00:00  25063.73  25066.180  25070.415  25069.900000   \n",
       "2021-08-23 15:57:00+00:00  25065.06  25064.722  25069.097  25069.324667   \n",
       "2021-08-23 15:58:00+00:00  25063.98  25063.872  25068.239  25068.348667   \n",
       "2021-08-23 15:59:00+00:00  25071.74  25065.250  25068.190  25068.677333   \n",
       "2021-08-23 16:00:00+00:00  25109.59  25074.820  25071.078  25071.945333   \n",
       "\n",
       "                                close30       close60  \n",
       "time                                                   \n",
       "2021-08-23 09:30:00+00:00           NaN           NaN  \n",
       "2021-08-23 09:31:00+00:00           NaN           NaN  \n",
       "2021-08-23 09:32:00+00:00           NaN           NaN  \n",
       "2021-08-23 09:33:00+00:00           NaN           NaN  \n",
       "2021-08-23 09:34:00+00:00           NaN           NaN  \n",
       "...                                 ...           ...  \n",
       "2021-08-23 15:56:00+00:00  25065.804333  25082.532333  \n",
       "2021-08-23 15:57:00+00:00  25066.339000  25081.794833  \n",
       "2021-08-23 15:58:00+00:00  25066.984000  25080.829333  \n",
       "2021-08-23 15:59:00+00:00  25067.828000  25080.036333  \n",
       "2021-08-23 16:00:00+00:00  25069.902667  25079.613667  \n",
       "\n",
       "[331 rows x 6 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_min"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'fig.autofmt_xdate fixes the labels')"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.close('all')\n",
    "fig, ax = plt.subplots(1)\n",
    "ax.plot(df.time, df.close)\n",
    "\n",
    "# rotate and align the tick labels so they look better\n",
    "fig.autofmt_xdate()\n",
    "\n",
    "# use a more precise date string for the x axis locations in the\n",
    "# toolbar\n",
    "import matplotlib.dates as mdates\n",
    "ax.fmt_xdata = mdates.DateFormatter('%Y-%m-%d')\n",
    "plt.title('fig.autofmt_xdate fixes the labels')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x17f491da970>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.close.plot()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
